Manage the end-to-end IFRS 9 ECL month-end process, including consolidation of key input parameters and execution of batch runs to ensure timely and accurate results
Drive IFRS 9 system enhancements by identifying improvement opportunities, raising Change Requests (CRs), and leading User Acceptance Testing (UAT), including development of test scripts and validation of system changes
Perform ongoing model monitoring to ensure accuracy, stability, and continued relevance of ECL model performance, in line with governance standards
Conduct in-depth analytical reviews of ECL results, including scenario simulations and impact analysis to support management insights and decision-making
Support IFRS 9 model development, optimisation, and implementation initiatives, including the adoption of Artificial Intelligence (AI)-driven solutions for ECL and financial reporting
Prepare IFRS 9 ECL reports and disclosures for financial, management, and regulatory reporting, ensuring compliance with local and Head Office requirements
Support the annual financial statements preparation process, including IFRS 9 ECL-related disclosures and other relevant notes
Partner with business stakeholders to support ECL planning and quarterly forecasting processes
Collaborate with Group Risk on stress testing exercises, including meeting regulatory requirements (e.g., BNM, MAS)
Ensure strong governance and robust controls over ECL modelling and financial reporting processes, ensuring adherence to internal policies and regulatory standards
Contribute to IFRS 9-related projects, audits, and ad-hoc initiatives, providing subject matter expertise and cross-functional business support
Key Requirements:
Bachelor’s degree in Accounting, Finance, Business, Data Analytics, or a related field, or equivalent professional qualification (e.g., CA Singapore, ACCA or CPA)
Professional qualification (e.g., CA Singapore, ACCA or CPA)
At least 5 years of experience in the banking and financial services industry or within a Big 4 accounting firm, focusing on financial services assurance or consulting
Hands-on experience or foundational knowledge in data analysis and automation using VBA (MS Excel/MS Access), SQL (e.g., SAS Enterprise Guide, MS Access), and AI-driven solutions will be an advantage